This webinar session discusses the importance of using CX metrics to guide agency-level decisions and how to gather, analyze, and apply customer feedback to optimize products and services.
DSN Spotlights are short-form project profiles that feature exciting work happening across our network of digital government practitioners. Spotlights celebrate our members’ stories, lift up actionable takeaways for other practitioners, and put the resources + examples we host in the Digital Government Hub in context.Â
The team examined how AI, specifically LLMs, could streamline the case review process for SNAP applications to alleviate the burden on case workers while potentially improving accuracy.
This page includes data and observations about authentication and identity proofing steps specifically for online applications that include child care applications.
This FormFest profile highlights Rachael Zuppke and Molly Graham’s work to redesign Michigan’s civil court forms using human-centered design, making them more accessible for people who must represent themselves in critical cases like eviction, family law, and guardianship.
The article outlines NYC Opportunity's "Designed by Community" program, which funds and empowers local leaders to create solutions for challenges in marginalized communities. Initially focused on government projects, the program pivoted during the pandemic to support community-led initiatives, with projects ranging from mentorship programs to tech tools for public housing residents.
This piece highlights promising design patterns for account creation and identity proofing in public benefits applications. The publication also identifies areas where additional evidence, resources, and coordinated federal guidance may help support equitable implementations of authentication and identity proofing, enabling agencies to balance access and security.
This FormFest profile examines how Massachusetts’ Department of Early Education and Care is modernizing its child care benefits system through human-centered design, making verification and application processes simpler, more compassionate, and more efficient for families and staff.
The team developed an AI solution to assist benefit navigators with in-the-moment program information, finding that while LLMs are useful for summarizing and interpreting text, they are not ideal for implementing strict formulas like benefit calculations, but can accelerate the eligibility process by leveraging their strengths in general tasks.
